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  • Source: Socio-Economic Planning Sciences. Unidade: ICMC

    Subjects: CRIMINALIDADE, ESPAÇO URBANO, ANÁLISE DE DADOS, PREDIÇÃO

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      SILVA, Débora Barbosa Leite et al. A street corner-level methodology to analyze the influence of points of interest on urban crime. Socio-Economic Planning Sciences, v. 102, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.seps.2025.102297. Acesso em: 08 out. 2025.
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      Silva, D. B. L., Vieira, T., Costa, E. de B., Paiva, A., & Nonato, L. G. (2025). A street corner-level methodology to analyze the influence of points of interest on urban crime. Socio-Economic Planning Sciences, 102, 1-14. doi:10.1016/j.seps.2025.102297
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      Silva DBL, Vieira T, Costa E de B, Paiva A, Nonato LG. A street corner-level methodology to analyze the influence of points of interest on urban crime [Internet]. Socio-Economic Planning Sciences. 2025 ; 102 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.seps.2025.102297
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      Silva DBL, Vieira T, Costa E de B, Paiva A, Nonato LG. A street corner-level methodology to analyze the influence of points of interest on urban crime [Internet]. Socio-Economic Planning Sciences. 2025 ; 102 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.seps.2025.102297
    GDS 16. Peace, justice and strong institutions
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MODELAGEM DE DADOS, SIMULAÇÃO, VISUALIZAÇÃO

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      SILVA, Priscylla et al. Visagreement: visualizing and exploring explanations (dis)agreement. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 10 , p. 7862-7875, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2025.3558074. Acesso em: 08 out. 2025.
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      Silva, P., Guardieiro, V., Barr, B., Silva, C., & Nonato, L. G. (2025). Visagreement: visualizing and exploring explanations (dis)agreement. IEEE Transactions on Visualization and Computer Graphics, 31( 10 ), 7862-7875. doi:10.1109/TVCG.2025.3558074
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      Silva P, Guardieiro V, Barr B, Silva C, Nonato LG. Visagreement: visualizing and exploring explanations (dis)agreement [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10 ): 7862-7875.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2025.3558074
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      Silva P, Guardieiro V, Barr B, Silva C, Nonato LG. Visagreement: visualizing and exploring explanations (dis)agreement [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10 ): 7862-7875.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2025.3558074
  • Source: Nature Sustainability. Unidade: ICMC

    Subjects: FLORESTAS, AMAZÔNIA BRASILEIRA, INDÚSTRIA MADEIREIRA, CONTROLE (TEORIA DE SISTEMAS E CONTROLE)

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      NONATO, Luis Gustavo et al. Assessing timber trade networks and supply chains in Brazil. Nature Sustainability, v. 8, p. 215-220, 2025Tradução . . Disponível em: https://doi.org/10.1038/s41893-024-01491-8. Acesso em: 08 out. 2025.
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      Nonato, L. G., Russo, V., Costa, B., Moreno-Vera, F., Toledo, G., Jesus, O. B. de, et al. (2025). Assessing timber trade networks and supply chains in Brazil. Nature Sustainability, 8, 215-220. doi:10.1038/s41893-024-01491-8
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      Nonato LG, Russo V, Costa B, Moreno-Vera F, Toledo G, Jesus OB de, Vieira R, Lentini M, Poco J. Assessing timber trade networks and supply chains in Brazil [Internet]. Nature Sustainability. 2025 ; 8 215-220.[citado 2025 out. 08 ] Available from: https://doi.org/10.1038/s41893-024-01491-8
    • Vancouver

      Nonato LG, Russo V, Costa B, Moreno-Vera F, Toledo G, Jesus OB de, Vieira R, Lentini M, Poco J. Assessing timber trade networks and supply chains in Brazil [Internet]. Nature Sustainability. 2025 ; 8 215-220.[citado 2025 out. 08 ] Available from: https://doi.org/10.1038/s41893-024-01491-8
  • Source: Artificial Intelligence and Law. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, DIREITO, PESQUISA, PROCESSAMENTO DE LINGUAGEM NATURAL

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      RESCK, Lucas et al. LegalAnalytics: bridging visual explanations and workload streamline in Brazilian Supreme Court appeals. Artificial Intelligence and Law, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10506-025-09446-w. Acesso em: 08 out. 2025.
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      Resck, L., Moreno-Vera, F., Veiga, T., Paucar, G., Fajreldines, E., Klafke, G., et al. (2025). LegalAnalytics: bridging visual explanations and workload streamline in Brazilian Supreme Court appeals. Artificial Intelligence and Law. doi:10.1007/s10506-025-09446-w
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      Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. LegalAnalytics: bridging visual explanations and workload streamline in Brazilian Supreme Court appeals [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10506-025-09446-w
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      Resck L, Moreno-Vera F, Veiga T, Paucar G, Fajreldines E, Klafke G, Nonato LG, Poco J. LegalAnalytics: bridging visual explanations and workload streamline in Brazilian Supreme Court appeals [Internet]. Artificial Intelligence and Law. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10506-025-09446-w
    GDS 17. Partnerships for the goals
  • Source: Computers & Graphics. Unidade: ICMC

    Subjects: EVASÃO ESCOLAR, ENSINO SUPERIOR, LINGUAGEM NATURAL, CLUSTERS

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      TICONA, Julio J et al. SDR-Explorer: a user-friendly visual tool to support preventing student dropouts in higher education. Computers & Graphics, v. 132, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2025.104375. Acesso em: 08 out. 2025.
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      Ticona, J. J., Nonato, L. G., Silva, C. T., & Gomez-Nieto, E. (2025). SDR-Explorer: a user-friendly visual tool to support preventing student dropouts in higher education. Computers & Graphics, 132, 1-11. doi:10.1016/j.cag.2025.104375
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      Ticona JJ, Nonato LG, Silva CT, Gomez-Nieto E. SDR-Explorer: a user-friendly visual tool to support preventing student dropouts in higher education [Internet]. Computers & Graphics. 2025 ; 132 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cag.2025.104375
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      Ticona JJ, Nonato LG, Silva CT, Gomez-Nieto E. SDR-Explorer: a user-friendly visual tool to support preventing student dropouts in higher education [Internet]. Computers & Graphics. 2025 ; 132 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cag.2025.104375
    GDS 04. Quality education
  • Source: IEEE Intelligent Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO, BENCHMARKS

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      ORTIGOSSA, Evandro Scudeleti et al. T-Explainer: a model-agnostic explainability framework based on gradients. IEEE Intelligent Systems, 2025Tradução . . Disponível em: https://doi.org/10.1109/MIS.2025.3564330. Acesso em: 08 out. 2025.
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      Ortigossa, E. S., Dias, F. F., Barr, B., Silva, C. T., & Nonato, L. G. (2025). T-Explainer: a model-agnostic explainability framework based on gradients. IEEE Intelligent Systems. doi:10.1109/MIS.2025.3564330
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      Ortigossa ES, Dias FF, Barr B, Silva CT, Nonato LG. T-Explainer: a model-agnostic explainability framework based on gradients [Internet]. IEEE Intelligent Systems. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/MIS.2025.3564330
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      Ortigossa ES, Dias FF, Barr B, Silva CT, Nonato LG. T-Explainer: a model-agnostic explainability framework based on gradients [Internet]. IEEE Intelligent Systems. 2025 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/MIS.2025.3564330
  • Source: IEEE Access. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REPRESENTAÇÃO

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      ORTIGOSSA, Evandro Scudeleti e GONÇALVES, Thales e NONATO, Luis Gustavo. Explainable artificial intelligence (XAI): from theory to methods and applications. IEEE Access, v. 12, p. 80799-80846, 2024Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2024.3409843. Acesso em: 08 out. 2025.
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      Ortigossa, E. S., Gonçalves, T., & Nonato, L. G. (2024). Explainable artificial intelligence (XAI): from theory to methods and applications. IEEE Access, 12, 80799-80846. doi:10.1109/ACCESS.2024.3409843
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      Ortigossa ES, Gonçalves T, Nonato LG. Explainable artificial intelligence (XAI): from theory to methods and applications [Internet]. IEEE Access. 2024 ; 12 80799-80846.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2024.3409843
    • Vancouver

      Ortigossa ES, Gonçalves T, Nonato LG. Explainable artificial intelligence (XAI): from theory to methods and applications [Internet]. IEEE Access. 2024 ; 12 80799-80846.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2024.3409843
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: MODELAGEM DE DADOS, APRENDIZADO COMPUTACIONAL, ESTATÍSTICA, SIMULAÇÃO, TOPOLOGIA

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      SOLUNKE, Parikshit et al. MOUNTAINEER: topology-driven visual analytics for comparing local explanations. IEEE Transactions on Visualization and Computer Graphics, v. 30, n. 12, p. 7763-7775, 2024Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2024.3418653. Acesso em: 08 out. 2025.
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      Solunke, P., Guardieiro, V., Rulff, J., Chan, G. Y. -Y., Barr, B., Nonato, L. G., & Silva, C. (2024). MOUNTAINEER: topology-driven visual analytics for comparing local explanations. IEEE Transactions on Visualization and Computer Graphics, 30( 12), 7763-7775. doi:10.1109/TVCG.2024.3418653
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      Solunke P, Guardieiro V, Rulff J, Chan GY-Y, Barr B, Nonato LG, Silva C. MOUNTAINEER: topology-driven visual analytics for comparing local explanations [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2024 ; 30( 12): 7763-7775.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653
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      Solunke P, Guardieiro V, Rulff J, Chan GY-Y, Barr B, Nonato LG, Silva C. MOUNTAINEER: topology-driven visual analytics for comparing local explanations [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2024 ; 30( 12): 7763-7775.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, VISUALIZAÇÃO, SISTEMA JUDICIÁRIO

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      DOMINGUES, Lucas Emanuel Resck et al. LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 6, p. 3105-3120, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3152450. Acesso em: 08 out. 2025.
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      Domingues, L. E. R., Ponciano, J. R., Poco, J., & Nonato, L. G. (2023). LegalVis: exploring and inferring precedent citations in legal documents. IEEE Transactions on Visualization and Computer Graphics, 29( 6), 3105-3120. doi:10.1109/TVCG.2022.3152450
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      Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
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      Domingues LER, Ponciano JR, Poco J, Nonato LG. LegalVis: exploring and inferring precedent citations in legal documents [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 6): 3105-3120.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3152450
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      XENOPOULOS, Peter et al. Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 853-863, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209489. Acesso em: 08 out. 2025.
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      Xenopoulos, P., Rulff, J., Nonato, L. G., Barr, B., & Silva, C. (2023). Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 853-863. doi:10.1109/TVCG.2022.3209489
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      Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
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      Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA

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      FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 08 out. 2025.
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      Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3
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      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
    • Vancouver

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
  • Source: Computers & Graphics. Unidade: ICMC

    Subjects: BIBLIOTECA DIGITAL, RECUPERAÇÃO DA INFORMAÇÃO, SEMÂNTICA, ACERVO

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      POCCO, Ximena et al. Exploring scientific literature by textual and image content using DRIFT. Computers & Graphics, v. 103, p. 140-152, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2022.02.005. Acesso em: 08 out. 2025.
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      Pocco, X., Silva, T. da, Poco, J., Nonato, L. G., & Gomez-Nieto, E. M. (2022). Exploring scientific literature by textual and image content using DRIFT. Computers & Graphics, 103, 140-152. doi:10.1016/j.cag.2022.02.005
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      Pocco X, Silva T da, Poco J, Nonato LG, Gomez-Nieto EM. Exploring scientific literature by textual and image content using DRIFT [Internet]. Computers & Graphics. 2022 ; 103 140-152.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cag.2022.02.005
    • Vancouver

      Pocco X, Silva T da, Poco J, Nonato LG, Gomez-Nieto EM. Exploring scientific literature by textual and image content using DRIFT [Internet]. Computers & Graphics. 2022 ; 103 140-152.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cag.2022.02.005
  • Source: IEEE Access. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, BENCHMARKING, VISÃO COMPUTACIONAL, FALSIFICAÇÃO

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      CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, v. 10, p. 117681-117706, 2022Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2022.3218335. Acesso em: 08 out. 2025.
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      Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Santos, F. L. dos, Zanin, R. B., & Viana, M. S. (2022). A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, 10, 117681-117706. doi:10.1109/ACCESS.2022.3218335
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      Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
    • Vancouver

      Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
  • Source: EURO Journal on Computational Optimization. Unidades: ICMC, IME

    Subjects: COVID-19, OTIMIZAÇÃO ESTOCÁSTICA, REDES COMPLEXAS

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      NONATO, Luis Gustavo et al. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network. EURO Journal on Computational Optimization, v. 10, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ejco.2022.100025. Acesso em: 08 out. 2025.
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      Nonato, L. G., Peixoto, P. da S., Pereira, T., Sagastizábal, C., & Silva, P. J. S. (2022). Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network. EURO Journal on Computational Optimization, 10, 1-13. doi:10.1016/j.ejco.2022.100025
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      Nonato LG, Peixoto P da S, Pereira T, Sagastizábal C, Silva PJS. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network [Internet]. EURO Journal on Computational Optimization. 2022 ; 10 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ejco.2022.100025
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      Nonato LG, Peixoto P da S, Pereira T, Sagastizábal C, Silva PJS. Robot dance: a mathematical optimization platform for intervention against COVID-19 in a complex network [Internet]. EURO Journal on Computational Optimization. 2022 ; 10 1-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ejco.2022.100025
  • Source: Proceedings of the National Academy of Sciences - PNAS. Unidade: ICMC

    Subjects: VACINAS, COVID-19, TOMADA DE DECISÃO, TEMPO DE REAÇÃO

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      SILVA, Paulo J. S. et al. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences - PNAS, v. 118, n. 35, p. 1-6, 2021Tradução . . Disponível em: https://doi.org/10.1073/pnas.2104640118. Acesso em: 08 out. 2025.
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      Silva, P. J. S., Sagastizábal, C., Nonato, L. G., Struchiner, C. J., & Pereira, T. (2021). Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions. Proceedings of the National Academy of Sciences - PNAS, 118( 35), 1-6. doi:10.1073/pnas.2104640118
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      Silva PJS, Sagastizábal C, Nonato LG, Struchiner CJ, Pereira T. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions [Internet]. Proceedings of the National Academy of Sciences - PNAS. 2021 ; 118( 35): 1-6.[citado 2025 out. 08 ] Available from: https://doi.org/10.1073/pnas.2104640118
    • Vancouver

      Silva PJS, Sagastizábal C, Nonato LG, Struchiner CJ, Pereira T. Optimized delay of the second COVID-19 vaccine dose reduces ICU admissions [Internet]. Proceedings of the National Academy of Sciences - PNAS. 2021 ; 118( 35): 1-6.[citado 2025 out. 08 ] Available from: https://doi.org/10.1073/pnas.2104640118
  • Source: Sensors. Unidade: ICMC

    Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL

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      CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 08 out. 2025.
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      Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
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      Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/s21134482
    • Vancouver

      Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/s21134482
  • Source: Sensors. Unidade: ICMC

    Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS

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      FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 08 out. 2025.
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      Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
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      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/s21227506
    • Vancouver

      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/s21227506
  • Source: PLoS ONE. Unidade: ICMC

    Subjects: MODELOS EPIDEMIOLOGICOS, MODELOS MATEMÁTICOS, COVID-19, PANDEMIAS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Paulo J. S. et al. Smart testing and critical care bed sharing for COVID-19 control. PLoS ONE, v. 16, n. 10, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0257235. Acesso em: 08 out. 2025.
    • APA

      Silva, P. J. S., Pereira, T., Sagastizábal, C., Nonato, L. G., Cordova, M. M., & Struchiner, C. J. (2021). Smart testing and critical care bed sharing for COVID-19 control. PLoS ONE, 16( 10), 1-17. doi:10.1371/journal.pone.0257235
    • NLM

      Silva PJS, Pereira T, Sagastizábal C, Nonato LG, Cordova MM, Struchiner CJ. Smart testing and critical care bed sharing for COVID-19 control [Internet]. PLoS ONE. 2021 ; 16( 10): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0257235
    • Vancouver

      Silva PJS, Pereira T, Sagastizábal C, Nonato LG, Cordova MM, Struchiner CJ. Smart testing and critical care bed sharing for COVID-19 control [Internet]. PLoS ONE. 2021 ; 16( 10): 1-17.[citado 2025 out. 08 ] Available from: https://doi.org/10.1371/journal.pone.0257235

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